There is very few previous work on the evaluation of style transfer.
Fu et al.[1]} defined two evaluation metrics for style transfer in text:
the transfer strength indicates how the newly generated data can be accurately classified as the target [1]}, [3]}, and the content preservation rate measures the similarity between
the source embedding and the target embedding. Text style transfer is similar to style transfer in speech[4]}, and the preserved content should be meaningful and recognizable.
Therefore, it requires high accuracy in classification.
